This is used in analyzing correlation between two different time series signals. So, this method can be used only when two-channel data are selected. Select data you want to apply this method in Analysis Window and click the icon of Cross Pearson’s Correlation in Analysis Tool Bar. This will result in the following analysis results.
In Cross Pearson’s Correlation graph, there is a point of 0 (zero). The point where the value firstly comes to be 0 (zero) is called as Cross Decorrelation time, meaning the point where correlation between the first time series signal and times series signal delayed by the specified time disappears. The value at this point is displayed in the top of graph. Longer Cross Decorrelation time means that past data more distant from the second signal involve in determining the present value of the first signal. Further, the first value when Delay time is 0 is important because it shows correlation between two signals.